Suhail touches on how to properly use analytics to grow your user base from 0-100MM users, and what aspects of analytics to focus on during the various growth stages.

1. From 0 to 100MM users Dealing with analytics as you grow. mixpanel.com

2. We spend a lot of time with companies big and small.

3. We have built products too...that failed despite success. “ One of the most strikingly popular new apps on this front is called TheVerb , a basic events planning calendar developed by a student at Arizona State University. It’s had around 800,000 installs […]” - Venture Beat Also worked at places that evangelize and aggressively use metrics.

4. Biggest hurdle? Figuring out what to track

5. Stage 1: Got the product! And we launched, now what?

6. Stage 1: Got the product! Problem: Not enough users, not enough data. Go growth and build a strategy. Referral program Dropbox (Users invite friends and get more space) Widgets Slide (Slideshow widget on MySpace) Search Omniture Advertising Every game on facebook Platform virality SuperPoke Use analytics to figure out which strategy works and optimize to maximize growth.

7. Stage 1: Got the product! But only until you have 10,000-50,000 users. You need enough users for your tests to give you good data.

8. Stage 2: Lots of users We’ll call this “Posterous” stage.

9. Stage 2: Lots of users Retention

10. Stage 2: Lots of users Don’t let this happen to you, pay attention to your retention . Largest application on facebook at one point. (31 MM users) Largest application on facebook at one point. (20 MM users) Largest application on facebook so far. (83 MM users at peak now 63 MM)

11. Stage 2: Lots of users Don’t let your own growth trick you; bad retention is a frequent killer. Shoot for 40-60% day over day retention. It’s possible, we’ve seen it, and it’s the best predictor of a successful company.

12. Stage 2: Lots of users This is what you want: (week to week is better) Not this:

13. Stage 2: Lots of users How do I increase retention? “ Build something people want.” – Paul Graham Measure how product changes affect retention constantly. Over time your application can lose relevancy amongst users too.

14. Stage 3: 100 million users Data overload.

15. Stage 3: 100 million users Small tweaks have huge impact but don’t optimize and get stuck in a local maxima . - Paraphrased from Max Levchin

16. Stage 3: 100 million users Build a growth team. “ When something gets released at facebook or a milestone is hit the team goes to Zuckerberg’s office to hit the gong. The growth team has never done that.” - Anonymous These aren’t really new features, this is the facebook growth team still experimenting.

17. Stage 3: 100 million users Watch the macro not the micro. Any change can have a huge effect on other areas, even ones you’re not watching.

18. Thanks. Email us at support@mixpanel.com and we’ll be happy to give you a free upgraded account. Just let us know you saw this presentation.